Seeing Machines Expands Human-Centred AI into Robotics Sector

The platform moves beyond basic object recognition by generating a dynamic, three-dimensional map of a robot's surroundings. By integrating human factors research with advanced computer vision, the system enables machines to interpret spatial relationships and anticipate human movement in real time. This shift aims to transition robots from controlled laboratory settings into unpredictable public and industrial spaces, such as hospitals and manufacturing floors.

Chief Executive Officer Paul McGlone noted that the company’s mission remains rooted in teaching machines to understand human behavior. While conventional systems often prioritize specific tasks, this architecture treats people, objects, and environments as a unified scene. This situational awareness is intended to facilitate safer, intuitive collaboration between machines and people across sectors ranging from mining to healthcare.